Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Can Artificial Intelligence Deceive Residency Committees? A Randomized Multicenter Analysis of Letters of Recommendation
3
Zitationen
10
Autoren
2024
Jahr
Abstract
Faculty members were unsuccessful in determining the difference between human-generated and AI-generated LORs 50% of the time, which suggests that AI can generate LORs similarly to human authors. This highlights the importance for selection committees to reconsider the role and influence of LORs on residency applications.
Ähnliche Arbeiten
The Association of American Medical Colleges
1938 · 5.571 Zit.
Burnout and Satisfaction With Work-Life Balance Among US Physicians Relative to the General US Population
2012 · 3.333 Zit.
Physician burnout: contributors, consequences and solutions
2018 · 2.482 Zit.
Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review
2015 · 2.080 Zit.
Burnout Among U.S. Medical Students, Residents, and Early Career Physicians Relative to the General U.S. Population
2014 · 1.986 Zit.